Update app.py

app.py

@@ -1,67 +1,53 @@
-from smolagents import CodeAgent, HfApiModel, load_tool, tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, FinalAnswerTool, InferenceClientModel, load_tool, tool
 import datetime
 import requests
 import pytz
 import yaml
-from tools.final_answer import FinalAnswerTool
-from Gradio_UI import GradioUI
 
-# -------------------------------
-# 1️⃣ Initialize models
-# -------------------------------
 
-# Plain Hugging Face search model
+# Initialize the Hugging Face web search model
 search_model = HfApiModel(
     "Intelligent-Internet/II-Search-4B",
     return_text=True,
-    streaming=False  # ensure it returns a string
+    streaming=False  # ensures the output is plain text
 )
 
-# Main agent model
-model = HfApiModel(
-    max_tokens=2096,
-    temperature=0.5,
-    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
-    custom_role_conversions=None
-)
-
-# -------------------------------
-# 2️⃣ Define tools
-# -------------------------------
-
 @tool
-def my_custom_tool(city1: str, city2: str) -> str:
-    """
-    A tool that searches for the top 5 sightseeing locations in two cities.
+def my_custom_tool(arg1:str, arg2:int)-> str: # it's important to specify the return type
+     """
+    Fetches the top 5 sightseeing events in a city for a given season using Hugging Face II-Search.
+    
     Args:
-        city1: the name of the first city 
-        city2: the name of the second city
+        city: Name of the city (e.g., "Paris").
+        season: Season or time of year (e.g., "summer").
+    
+    Returns:
+        A formatted string listing the top 5 sightseeing events.
     """
-    # Query the search model as plain text
-    text_city1 = search_model(f"List the top 5 sightseeing locations in {city1}")
-    text_city2 = search_model(f"List the top 5 sightseeing locations in {city2}")
+    # Query the search model
+    response_text = search_model(f"Top 5 sightseeing events in {city} during {season}")
+
+    # Split by lines to extract individual events
+    events = response_text.split("\n")
 
-    # Split by lines to get individual results
-    results_city1 = text_city1.split("\n")
-    results_city2 = text_city2.split("\n")
+    # Format output as a readable string
+    output = f"Top 5 sightseeing events in {city} during {season}:\n"
+    for i, event in enumerate(events[:5], start=1):
+        output += f"{i}. {event.strip()}\n"
 
-    # Format the output
-    output = f"Top 5 sightseeing locations in {city1}:\n"
-    output += "\n".join(results_city1[:5]) + "\n\n"
-    output += f"Top 5 sightseeing locations in {city2}:\n"
-    output += "\n".join(results_city2[:5])
     return output
 
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-
     """A tool that fetches the current local time in a specified timezone.
     Args:
         timezone: A string representing a valid timezone (e.g., 'America/New_York').
     """
     try:
+        # Create timezone object
         tz = pytz.timezone(timezone)
+        # Get current time in that timezone
         local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
         return f"The current local time in {timezone} is: {local_time}"
     except Exception as e:
@@ -69,22 +55,20 @@ def get_current_time_in_timezone(timezone: str) -> str:
 
 
 final_answer = FinalAnswerTool()
+model = InferenceClientModel(
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    custom_role_conversions=None,
+)
 
-# Image generation tool from Hugging Face Hub
-image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
-
-# -------------------------------
-# 3️⃣ Load prompt templates
-# -------------------------------
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-
-# -------------------------------
-# 4️⃣ Create agent
-# -------------------------------
+    
+# We're creating our CodeAgent
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, get_current_time_in_timezone, my_custom_tool],
+    tools=[final_answer], # add your tools here (don't remove final_answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -94,12 +78,5 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-# -------------------------------
-# 5️⃣ Test the tool
-# -------------------------------
-if __name__ == "__main__":
-    result = my_custom_tool("Berlin", "Bremen")
-    print(result)
-
-    # Launch Gradio UI
-    GradioUI(agent).launch()
+GradioUI(agent).launch()
+